Vasco, Miguel

8 publications

ICML 2025 Human-Aligned Image Models Improve Visual Decoding from the Brain Nona Rajabi, Antonio H. Ribeiro, Miguel Vasco, Farzaneh Taleb, Mårten Björkman, Danica Kragic

TMLR 2025 Walking on the Fiber: A Simple Geometric Approximation for Bayesian Neural Networks Alfredo Reichlin, Miguel Vasco, Danica Kragic

NeurIPSW 2024 Amplified Early Stopping Bias: Overestimated Performance with Deep Learning Nona Rajabi, Antonio H. Ribeiro, Miguel Vasco, Danica Kragic

ICLRW 2024 Can Foundation Models Smell like Humans? Farzaneh Taleb, Miguel Vasco, Nona Rajabi, Mårten Björkman, Danica Kragic

NeurIPS 2024 Can Transformers Smell like Humans? Farzaneh Taleb, Miguel Vasco, Antônio H. Ribeiro, Mårten Björkman, Danica Kragic

NeurIPS 2024 NeuralSolver: Learning Algorithms for Consistent and Efficient Extrapolation Across General Tasks Bernardo Esteves, Miguel Vasco, Francisco S. Melo

TMLR 2024 Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic

ICML 2022 Geometric Multimodal Contrastive Representation Learning Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic